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Interactive video in an e-learning system allows proactive and random access to video content. Our empirical study examined the influence of interactive video on learning outcome and learner satisfaction in e-learning environments. Four different settings were studied: three were e-learning environments—with interactive video, with non-interactive video,(More)
Web stores, where buyers place orders over the Internet, have emerged to become a prevalent sales channel. In this research, we developed neural network models, which are known for their capability of modeling noncompensatory decision processes, to predict and explain consumer choice between web and traditional stores. We conducted an empirical survey for(More)
We describe our findings and experiences from our technical review of vote verification systems for the Maryland State Board of Elections (SBE). The review included the following four systems for possible use together with Maryland's existing Diebold AccuVote-TS (touch screen) voting system: VoteHere Sentinel; SCYTL Pnyx.DRE; MIT-Selker audio system;(More)
Usability testing of software applications developed for mobile devices is an emerging research area that faces a variety of challenges due to unique features of mobile devices, limited bandwidth, unreliability of wireless networks, as well as the changing context (environmental factors). Traditional guidelines and methods used in usability testing of(More)
—With the increase of economic globalization and evolution of information technology, financial data are being generated and accumulated at an unprecedented pace. As a result, there has been a critical need for automated approaches to effective and efficient utilization of massive amount of financial data to support companies and individuals in strategic(More)
Software engineering is a decision intensive discipline. Do we really understand all the factors that can influence those decisions? Can we build models that reveal hidden patterns in software resource management, in development processes, or in software artifacts themselves? How well do these models predict? Can they be used without requiring domain expert(More)